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Results: 1 to 20 of 53

1.

Graph Estimation From Multi-Attribute Data.

Kolar M, Liu H, Xing EP.

J Mach Learn Res. 2014 May;15(May):1713-1750.

2.

Diffusion of lexical change in social media.

Eisenstein J, O'Connor B, Smith NA, Xing EP.

PLoS One. 2014 Nov 19;9(11):e113114. doi: 10.1371/journal.pone.0113114. eCollection 2014.

3.

Network analysis of breast cancer progression and reversal using a tree-evolving network algorithm.

Parikh AP, Curtis RE, Kuhn I, Becker-Weimann S, Bissell M, Xing EP, Wu W.

PLoS Comput Biol. 2014 Jul 24;10(7):e1003713. doi: 10.1371/journal.pcbi.1003713. eCollection 2014 Jul.

4.

Kernel methods for large-scale genomic data analysis.

Wang X, Xing EP, Schaid DJ.

Brief Bioinform. 2015 Mar;16(2):183-92. doi: 10.1093/bib/bbu024. Epub 2014 Jul 22.

PMID:
25053743
5.

GWAS in a box: statistical and visual analytics of structured associations via GenAMap.

Xing EP, Curtis RE, Schoenherr G, Lee S, Yin J, Puniyani K, Wu W, Kinnaird P.

PLoS One. 2014 Jun 6;9(6):e97524. doi: 10.1371/journal.pone.0097524. eCollection 2014.

6.

Effects of sample selection bias on the accuracy of population structure and ancestry inference.

Shringarpure S, Xing EP.

G3 (Bethesda). 2014 Mar 17;4(5):901-11. doi: 10.1534/g3.113.007633.

7.
8.

NP-MuScL: unsupervised global prediction of interaction networks from multiple data sources.

Puniyani K, Xing EP.

J Comput Biol. 2013 Nov;20(11):892-904. doi: 10.1089/cmb.2013.0093. Epub 2013 Oct 17.

9.

GINI: from ISH images to gene interaction networks.

Puniyani K, Xing EP.

PLoS Comput Biol. 2013;9(10):e1003227. doi: 10.1371/journal.pcbi.1003227. Epub 2013 Oct 10.

10.

High-dimensional feature selection by feature-wise kernelized Lasso.

Yamada M, Jitkrittum W, Sigal L, Xing EP, Sugiyama M.

Neural Comput. 2014 Jan;26(1):185-207. doi: 10.1162/NECO_a_00537. Epub 2013 Oct 8.

PMID:
24102126
11.
12.

More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server.

Ho Q, Cipar J, Cui H, Kim JK, Lee S, Gibbons PB, Gibson GA, Ganger GR, Xing EP.

Adv Neural Inf Process Syst. 2013;2013:1223-1231.

13.

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks.

Yin J, Ho Q, Xing EP.

Adv Neural Inf Process Syst. 2013;2013:422-430.

14.

Enabling dynamic network analysis through visualization in TVNViewer.

Curtis RE, Xiang J, Parikh A, Kinnaird P, Xing EP.

BMC Bioinformatics. 2012 Aug 16;13:204.

15.

Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs.

Lee S, Xing EP.

Bioinformatics. 2012 Jun 15;28(12):i137-46. doi: 10.1093/bioinformatics/bts227.

16.

Robust estimation of local genetic ancestry in admixed populations using a nonparametric Bayesian approach.

Sohn KA, Ghahramani Z, Xing EP.

Genetics. 2012 Aug;191(4):1295-308. doi: 10.1534/genetics.112.140228. Epub 2012 May 29.

18.

Large-margin predictive latent subspace learning for multiview data analysis.

Chen N, Zhu J, Sun F, Xing EP.

IEEE Trans Pattern Anal Mach Intell. 2012 Dec;34(12):2365-78.

PMID:
22392706
19.

Estimating networks with jumps.

Kolar M, Xing EP.

Electron J Stat. 2012;6:2069-2106.

20.

Multiscale Community Blockmodel for Network Exploration.

Ho Q, Parikh AP, Xing EP.

J Am Stat Assoc. 2012;107(499). doi: 10.1080/01621459.2012.682530.

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